Chapter 20: Type I and Type II Errors Flashcards
(9 cards)
1
Q
Type I Error
A
H0 is true, but we reject H0 (false positive)
2
Q
Type I Error Interpretation
A
“The [H0 in context] is true, but we find convincing evidence for [Ha in context].”
3
Q
Type II Error
A
H0 is false, but we fail to reject H0 (false negative)
4
Q
Type II Error Interpretation
A
“The [Ha in context] is true, but we don’t find convincing evidence for [Ha in context].”
5
Q
P(Type I Error)
A
Significance level
6
Q
Power
A
Probability of avoiding a Type II error = P(reject H0 given Ha is true)
7
Q
P(Type II Error)
A
1-power
8
Q
Power Interpretation
A
“If [Ha in context] is true, there is a [power] probability of finding convincing statistical evidence to reject [H0 in context]
9
Q
Factors That Increase Power
A
- Increased sample size
- Increased significance level
- Decreased standard error
- The true parameter value is further from the H0
